Siga Technologies (SIGA) Return on Equity [ROE] (2011 - 2025)
Siga Technologies (SIGA) posted Return on Equity [ROE] of 36.09% for Q3 2025, down 14.75 percentage points from 50.85% a year earlier and down 2.55 percentage points from the prior quarter.
Siga Technologies (SIGA) Return on Equity [ROE] (2011 - 2025) Analysis & Trends
For FY2024, Siga Technologies' Return on Equity [ROE] came in at 28.70%, down 8.39 percentage points from FY2023.
- Annual Return on Equity [ROE] shows a five-year change of +35.91 percentage points (FY2019 to FY2024).
- In prior years, Siga Technologies' Return on Equity [ROE] was 37.09% in FY2023 (+17.41 pp), 19.68% in FY2022 (-25.99 pp), 45.68% in FY2021 (-3.84 pp) and 49.51% in FY2020 (+56.73 pp).
- Quarterly Return on Equity [ROE] has run from a low of -4.00% in Q3 2023 to a high of 68.95% in Q3 2022 over five years.
- On a year-over-year basis, Return on Equity [ROE] has declined in each of the last four quarters, with an average year-over-year change of +9.04 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q1 2021, with a gain of 70.12 percentage points; the weakest was Q3 2023, with a drop of 72.95 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 38.64% (Q2 2025), 22.47% (Q1 2025) and 30.72% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Siga Technologies | 243.48 Mn | -428.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 36.09% |
| Jun 30, 2025 | 38.64% |
| Mar 31, 2025 | 22.47% |
| Dec 31, 2024 | 30.72% |
| Sep 30, 2024 | 50.85% |
| Jun 30, 2024 | 50.48% |
| Mar 31, 2024 | 43.83% |
| Dec 31, 2023 | 42.43% |
| Sep 30, 2023 | -4.00% |
| Jun 30, 2023 | 19.89% |
| Mar 31, 2023 | 20.04% |
| Dec 31, 2022 | 19.72% |
| Sep 30, 2022 | 68.95% |
| Jun 30, 2022 | 46.67% |
| Mar 31, 2022 | 40.89% |
| Dec 31, 2021 | 49.47% |
| Sep 30, 2021 | 14.74% |
| Jun 30, 2021 | 36.50% |
| Mar 31, 2021 | 51.02% |
| Dec 31, 2020 | 46.41% |
Siga Technologies Return on Equity [ROE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "SIGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();